{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Video pipeline demonstrating applying labels based on timestamps or frame numbers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Goal\n",
    "In this example, we will go through the creation of a pipeline using the VideoReader operator to read videos along with their labels. We will apply labels to the video based on frame numbers as input, and read timestamp and frame number labels along with decoded video frames.\n",
    "\n",
    "For more information on the VideoReader parameters, please look at the documentation reference.\n",
    "\n",
    "To make it clearer, let's look at how we can obtain these sequences and how to use them!\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First let's import the libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import tempfile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from nvidia.dali.pipeline import Pipeline\n",
    "import nvidia.dali.ops as ops\n",
    "import nvidia.dali.types as types\n",
    "\n",
    "try:\n",
    "    from PIL import Image\n",
    "    has_PIL = True\n",
    "except ImportError:\n",
    "    has_PIL = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we define that in each iteration of the pipeline we want 4 batches and each batch has sequence length of 1 frame. We want to run 10 iterations for illustrative purpose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "BATCH_SIZE=4\n",
    "COUNT=1\n",
    "ITER=10\n",
    "frame_num_based_labels=True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The video we have used in this example is a 10 seconds long, 25fps, 512x512 resolution video with timestamp burned into the frame itself in the top half of the video and frame number in the bottom half. The burned text in the decoded frame can be easily used to verify that we are indeed returned the correct frame number and timestamp labels.\n",
    "\n",
    "`DALI_EXTRA_PATH` environment variable should point to the place where data from [DALI extra repository](https://github.com/NVIDIA/DALI_extra) is downloaded. Please make sure that the proper release tag is checked out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "dali_extra_path = os.environ['DALI_EXTRA_PATH']\n",
    "file_list_txt = dali_extra_path +  \"/db/video/test_label.mp4 0\\n\"\n",
    "file_list_txt += dali_extra_path + \"/db/video/test_label.mp4 1 0 100\\n\"\n",
    "file_list_txt += dali_extra_path + \"/db/video/test_label.mp4 2 100 200\\n\"\n",
    "file_list_txt += dali_extra_path + \"/db/video/test_label.mp4 3 200 250\\n\"\n",
    "tf = tempfile.NamedTemporaryFile()\n",
    "tf.write(str.encode(file_list_txt))\n",
    "tf.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining the pipeline\n",
    "We can then define a minimal Pipeline that will output directly the VideoReader outputs.\n",
    "\n",
    "Notice that we set `file_list_frame_num=True`, this means that the labels we provided above using `file_list` will be interpreted as frame numbers.\n",
    "`test_label.mp4 1 0 100` is interpreted as applying label `1` from frame number `0` to `100`(excluding).\n",
    "\n",
    "If however you wished to apply labels using timestamp, simply set `file_list_frame_num=False` (default behaviour), and provide timestamps you wish to apply the label to. For example, if you wished to apply a label `1` to frames from `3` seconds to `8.5` seconds: `test_label.mp4 1 3 8.5`\n",
    "\n",
    "In this example we have set both `enable_frame_num` and `enable_timestamps` to `True` for illustrative purpose. You can enable or disable either of them depending on your particular use case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "class VideoPipe(Pipeline):\n",
    "    def __init__(self, batch_size, num_threads, device_id, data):\n",
    "        super(VideoPipe, self).__init__(batch_size, num_threads, device_id, seed=120)\n",
    "        self.input = ops.VideoReader(device=\"gpu\", file_list = data, sequence_length=COUNT,\n",
    "                                     shard_id=0, num_shards=1, random_shuffle=True, initial_fill=10,\n",
    "                                     image_type=types.RGB, dtype=types.FLOAT,\n",
    "                                     file_list_frame_num=frame_num_based_labels, enable_frame_num=True, enable_timestamps=True)\n",
    "\n",
    "    def define_graph(self):\n",
    "        output = self.input(name=\"Reader\")\n",
    "        return output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing the results\n",
    "We will use matplotlib to display the frames we obtained and the associated labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.gridspec as gridspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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lggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1ywGbj96uT0Q9f/WnoA/GVw4lPYSBbfnZz5xuSZL0oOf/+m3psN6w8XJOd/MjnsfcMvgfNEN++q5JYrk4W3lKsFrFySPHn35Jh/W7/t3H51cs7Jj/y8k7428uLbSfKnS8sJZe/5c7lk1IQty8Wrn/vacvkeoD7BBZuBGU9L3vzfyfgpm3pP2JB+9+NyeaD2zmTL7UpwPRpTtkn2H+O6h/fdmtz4y3Lx6jVjq683Oe9fkht+Xq4YsNtB5QLpyx5I5t+Q3P1nwQUbi+CCzUBHV7L1zE29F2xo+74med6bygW6l9xbRjgfjSnbJge+YfRlP/pEud/rsJHLLvtqia39Xlcun9SyxiSS3p5Htz/A+hNcsBFc9rXk8rPLz9deWG79DntfGcE45+QyijH0F+s3P5DccU3yvvOSX52TXHdRsuS+ZIttkucclex1eHne3HPLNRgfXJB0bZHseWi5DuGav2CTZMEfk998J5l/XbJiSTJxy3Jx5v2PTSavcaHoB+9KfvWt5PbflwtZt3cmk6YlT35G8rzjy0Wc+/cxKYcVz//k4Pp/+5USC0sWleskzruqbHPFkrLuzD2T/V7/8IWfhxh6+HW/1yeXnFUOq/X2JE9+evKCv02etGOy/MHkf7+c3PzrMnr0pJ2Sg95cLiY92uf/2tOThxYmV/4guf+OpHN8svO+yezjyzUQN7QnP2PDb3Oo5YuTP/8yaR83/OLaSbkW5G+/V0awZr9p9PXb/AaAjcb/3GAjmLlnsuoVyVU/TKY/Jdll/8Fl03dOVi1d+/o//niy4E/JU/66/JL806XJnM8kre3JvbeWgNt53xIaN/0qufzrSce4ZN+jh2/nmjnJnE8n7R3JzvslWzwpeWB+cs1Py3pv+MzgYamli5KvvjNZvby87lMPLBe0fvDu5PqLk71fXqLpmS8qF7++6Ypywe3pOw++3rhJ5f7OPyS//nYyc6+ynY6u5IEF5SLZN/2qzGkaul6/xfckZ78r2XqH8joP3ZPceHlyzgeSYz6dfPcfks4JyW7PK8F1wyXJdz+UvOWLo89luvL7ybzflUNrO+2TzL+2zD+7/Zry3ids+ch/l5uTay8sfye7vzDpmjR82Y2XlmW7HZR0r0pu+U35zDvHJ9vvPvrnDdQjuGAjmLlXGcW66oflF92ah4duv3rt6z90b3LCmYO/VP/6qOQLJyY/OzPpmpgcf0YyeVpZdsAbkv8+PvnN95K/flXS2lYev//O5IJ/L/vxun8dfH6S3DY3+fYHk4v/K3nlh8tjf7qsRMzBJyX7vHL4/qxembS0lJ/7J8nfdEWy6/6jT5qf+azkHeeU+UNDLbw5+fp7k0u+mLz6n0aud8c1yew3llGufpd/vRwqO/v/JE97XvLidw6O5O24d5mz9NvvJ4ecNHJ7t1xZwmqbXQYfu/iM5KoflH047L2Dj99+dQmx9THWYb9arjm/3D/r8JHL7rqx3PesSs46sYzsDfXUA5MjPlDiF6hPcMFfgINOGD6CseWMMkpx+9XJC946PJ66JpXRrmsvLIcfp2xTHp97btLXkxzytuHPT5JZf5Xs8twy2rRq+fAwah83cn861/OX9MQxRo6m71xibN5V5XDhmoe4pmwzcpTumS8qwdXbnTz/LcMPmz79Bcn5/1ZCbjS7HzI8tpISSddeUOY6vejvymHTpMRW/2HgdbUxg+v2a0pET9uxfPNxTcsfLPeXfqUsf+WHk622T+6bl1z0n8mNl5XRrsfbN2ZhcyW44C/Atk8d+dikh+dbbbvLyGX9QTU0uBbcUO7v+MPg6MdQyx9Mmr5yiHHbXUuA/e+Xkov+I5l3ZbLjPsn2z0i2njU4urU+bv518vvzyjfjViwu36AbasXiwffUb/rOgyN0/fqfs9X2I0fMWtuSCVuV9z2aHfYY+di4ieV17rgmWXRHOV1CUuJpY49YrY+rf1Lu9xpldCtJmqbcj5+cHHVKeZ9Jst1uyZEfSf77zcl1F5f5XWsGOLDhCS74C9D/y3Ko/hAZbVnLw8v6hnwLbcVD5f4331n7a61eUe6nbJMc9+9lwvmtV5ZTDyTJ5Cclz3lV8uxXrPv+X/mD5GdnlNG3WXuX+VUd45K0JDddXs5T1ds9cr31fd/9y9eMuX4Tt1r746uWrfVtbDZWPFRGqNrHlVG70fR/PjP/auRnNWnrZLunJbf9Prn7RsEFG4PggieI/l+67/r+2LGypq1nJi//hxIwC29JbvtdctWPylyvjq5kz5c88jb6epNfnp1MnJq88T9GjmL1j7xtDMseWPvjQz+XzXkO17UXlUB95otGTpbvN3X7ct81xt911+Ry37N6w+8fMJLggo2kf65RX9+mef3tditnGr/z2jLHa320tpXDjNvummz3jOSb70/+fPlgcLU+/N6aUd7b8sXlW5izDhgZW6tXJPfctP7v5dG64w8lUoZatazM+WrvLN+G7Lc5z+Hqnyw/2rm3+u24d3LFN8qcrdHcd1u5n7LtBt01YAyCCzaSrslJWkZ+W2xj2ftvyuVdfnZmOet4/whIv97uco6u/nlOd/852Wq7kaNh/ZOxh06m79qi3I/23iZuWQ4f3n1TCazO8Q+/Xk8ZKVux+LG/t3V13cXlcxg6cf6yr5Xo2uPFgxPmk003h2vR7eV+rBPh3vGH8pyxJsv32/6ZZW7andeVw8FPPWBw2dU/KdvYcrsS0UB9ggs2ks7xZZTpzmuTH59WgqeltUxO3xi2nllOe3D+vyVffGs5D9VWTy6H/B5aWPZrwpTkxLPK86+7qPxifvLu5VuRXZPLiVVv/nXS1jH8VBFPfnqJqit/UOYXTXz4JKLPfnkJtr1fkfz6W8mX/racq6u3pxyyW7mknDLjkU6LsaE8ZZ9yGordnlf2cf61JUimbJM8780b/vXuvLac4ywZnBv3wPzkJ/86+Jw1vyV41lvK/clzRt/m1f2jW2NMlu/X0lK2/c0PJD/8aLLLvuWLBotuS275bTkkfMT7R34pAahDcMFGdMQHygjTrVcmN/wiSVMmLPd/k7C23Q8pJ1797fdK5Mz7XQmlSVsnT5tdTpLZ7+kvKKNe868vhyJ7Vpfn7XZQOb/Xk3YcfG7X5OTl/1jOkXXthUn3yodf7+ASXLPfWGLump+WiBs3sUyen/3G5Jdf2zjvPUn2OTLZ9YBy3q37L0k6xpdDjM87fuxTVzwWDywYflWBpIwQDn1sfU7LsHJJOaHp2ibLDzX9Kckb/7McGr31qhJa46ckzzi4nNts6CFUoK6Wk+ek2dQ7AVDT0Ev7zNxrU+8N8EQ0ypXWAADYkAQXAEBlggsAoDJzuAAAKjPCBQBQ2VpPC3H6oRtrNwAA/rKNdf68xAgXAEB1ggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBY9zM2fOzPHHH5+zzz47999/f+6///40TZPe3t712k5HR0c6OjrSNE2aphnYzk033ZSVK1cOPH7zzTenaZpccsklY25rypQpefe7353f/va3Wbp0aRYvXpzFixfnwgsvzAte8IKB57W0tAxbr6urK8cff3wuuOCCLF26NEuXLs0FF1yQCy64ILNnz37E93DwwQfn/PPPz8qVK/PQQw9lzpw5mTNnzjqv++Mf/zjLli3Lvffem4suuigXXXRRDjzwwEdcd/bs2bn44ouzePHiLFu2bGDd5z3veY+4LvD40HLynDRjLTz90I25K0ANy5cvT1dXV1paWtLX15ckaW1tTU9PTzo6Oh5x/UmTJmXp0qUD8bN69eqsXr0648ePz/Lly9Pb25tJkyZl+fLlA8unTp2aSy+9dMyguOiii/L85z8/LS0taZpmYL/a29uzcOHC7LrrrlmyZEna2tqGheEb3vCGnH766Zk2bVra2tqSZGB5W1tbXvOa1+S73/3uqK959NFH5xvf+EZaWloGXrdpyn/++vr6cswxx+Tb3/72qOsec8wx+epXvzrwGQxdN0mOPfbYnHPOOaOu+6pXvSrf+ta30traOrDu0O289rWvzXe+851h2wP+Mp08Z+xlRrjgce7222/Pl770pbzpTW/KjBkzMmPGjPVaf+nSpUkGI6OjoyMTJ05Ma2trJk2alClTpqStrS2TJ0/O5MmTc/XVV2fJkiX5whe+MOr2Lr744hxyyCGZP39+/u7v/i4TJkxIZ2dnOjs7c+yxx+Y73/lOlixZkiTDYquzszMf+9jHsu222+bjH/94Ojs7M2PGjHz84x/Pxz/+8fT09OTMM8/MlClTRrxmZ2dn/uM//iOtra350Ic+lKlTp2bixIkD67a3t+eMM84YiKKhurq6csYZZ6S7uzsf+9jH0tXVlYkTJ+aUU07JKaecktbW1px55pmZNGnSsPXa29vT3t6ez3/+8+nt7c0///M/Z9y4cens7MyHP/zhfPjDH05LS0s+97nPDcQj8Dh28pw0Y90SNze3x+Otu7u7Wb169Qbd5qRJk5pJkyY1PT09zcqVK5vp06c3SZrW1taB5+yxxx5Nd3d3s3z58mb27NmjbqelpaVJ0nR0dDSdnZ1Ne3t7097e3hx33HHN4sWLm4suumjU9c4777ymaZrmxBNPHLHsHe94R9PT09P84Ac/GHXd73//+01fX9+Y6zZN03z/+98fdd1zzz23aZqmeec73zns8be97W3N2972tqZpmubcc88ddd0LLrigWb16dfPWt751k/+bcHNze+y3tTWVES54Aurt7R0xP+qx6OjoyEte8pK85CUvSWtray677LIsXLgwSQYOFybJ8ccfn/b29pxzzjm59NJLh63f0dGR1tbWgUNr3d3dWb16dXp6etLT05MjjzwyW2yxRT75yU+Oug9nnXVWmqbJS1/60hHLDj744CTJV7/61VHX/fKXv5yWlpYcdthhI5a96EUvSnd3d84666xR1/3Sl76UJCNe94gjjsgRRxyRpmny+c9/ftTP+wtf+EI6Ojpy+OGHj7pt4PGjfVPvALDxjRs3boPOGeru7s7xxx+fpByC/PSnPz1s+YQJE5Ikz3rWs5IkV1111Yj1H8lOO+2UpBwiHc0vf/nLrF69OnvuueeIZfvtt9+or9tv7ty5w/ZvqOc85zlJkt///vejrnv55ZcnyYhDtbvttluSpGmazJ07d9TP+7LLLkuSUfcZeHwxaR6egPrnY402Z+nRmDRp0sC8q1WrVmXWrFm55557Rjxv0aJFmTp1avbaa6/ssssu+cAHPpBZs2blwQcfTJKce+65OfXUUwfmjQ01f/78TJ8+PdOmTcvixYtHLO/o6MiqVauydOnSbLHFFsOW3Xvvvdlqq63S3j76/8dsb2/PqlWrsmLFihFzse67775Mnjw548ePHzZaN1Rvb2+6u7vT1dU18Fj/exg/fnw6OzvH/FZo0zRZunRpJk+ePOpy4C+HSfMAAJuQQ4rAY/ayl71s4Oef/exno45uJcnKlSuTJCeddFKOOeaYLF++PNtuu+3A4bjtt98+r3rVq7L33nsPjHoNtbbDoN3d3WlpaRk2yjTU2uas9fT0JEkmTpw45rptbW1jjnAl5XQYQ/Vva13Oeba27QKPD0a44AlqQ06aP/HEEwd+/uY3vzlmuGy33XZpmiYHHnhgjjnmmOyzzz6ZOnVqjj766Bx99NG5+eabs9NOO+VDH/rQqOv3h9FoOjo60tfXNxB1a2ppaRmYS7amtra2tLS0ZNmyZWNue6xzlvVP9l/zMOiyZcuybNmytLS0jHnodvz48WmaZp3msAF/2YxwAY/Jlltumec+97m59957kyTnnXfemOFy77335klPelLe9a535ec///nACUj7Tzg6b968/OhHP8pBBx006vprm3M2Y8aM9PX15f777x/zORMmTBg4QetQW2+9dVpaWnL33XePue5Yr91/Dq01R7j6t9KU8woAABGsSURBVLXzzjtn6tSpue+++0Zsa8qUKenr61trSAKPD0a4gMfkuOOOS3t7e+bOnZu5c+eOeiiw329/+9vcc889A5f9WfOEn7///e+zcuXKbL/99tlmm22GLTv33HMzbty4vPnNbx512/vss0+S5KabbhqxbM6cOWlpaRnzEj79j19//fUjll166aXp7e3NIYccMuq6hx56aHp6ekZ8i7H/80iSAw44YNiyvr6+9PX1ZZ999klbW9uwU2QAj0+CC1hv/YcjOzs7c/zxx6ezszNnnHFGzjjjjLXOR7rmmmvS2to6EE1rjuwcddRRmTVrVubNmzdixOiqq67KggULctRRR4267f5zfJ1//vkjlv3qV79KX19f3vKWt4y5bpL85Cc/GbHspz/9aZqmGXbYdKj+97Lm655//vkDj4217oknnpi+vj7BBU8EzjTv5vbEu/V7NOu2trYOnD1+9913b3p6epqHHnpondadOXNm0zRNM2/evObII49spk+f3nR0dDSvf/3rm9e//vXNn/70p6ZpmuYjH/nIwDptbW1NW1tbs8022zSXXHJJ0zRN86lPfaqZMmVKM378+ObUU09tTj311Kavr6956KGHms7OzhGvu9VWWzUrV65s+vr6mn/5l39pOjs7mwkTJjQf/ehHm49+9KPNqlWrmvnz5zcTJkwYse7EiROb++67r2mapjn99NObSZMmNe3t7QPr9vX1NfPnz28mTpw4bL3+M+QvWLCg6e3tbT7xiU80XV1dTVdXV3PKKac0p5xyStPX19csW7as6erq2uT/Jtzc3B77zZnmAQA2JSNcbm6P/1tPT0/TNE3T3d3ddHd3D4xw9fb2Nk3TNH19fWOut3z58lGXtbS0NO985zubVatWNV/60pfWeV8+9alPNX19fc2iRYua1atXNwsWLBjYn+7u7ua73/1uM3ny5FHXfdvb3tbceeedTV9fX9M0zcD76vfa1752zNc9+uijm56enmb16tXDXq+7u7tZtWpV84Y3vKFJyojamuu+5jWvafr6+oatO9QrXvGKEZ9N/89vetObBva338qVKwdG3I466qhN/u/Dzc1tw9zW1lTONA9PAD09PSMmqA+1evXqjBs3bsTj3d3daW9vH/UUEq2trZk7d2522mmnzJ49O9ddd12SpGmatLS0jPnNu9bW1pxwwgk54ogjstdee2XatGkD3+j73ve+l9NOO23UM8knyeTJk3PEEUfkhBNOyP77759k8NI6p5566sClcsZy4IEH5h/+4R9y0EEHpWma/PznP0+SfPKTnxz4eSz77bdf/umf/in77rtvkjIvLEn+8R//cWAfxjJ79ux89KMfzT777JOVK1cOTLA/9dRTc8UVVzgtBDxOrO1M84ILeNR23HHHzJs371Gtu+uuu+bPf/7zeq83efLkgcsIDdV/ionN0ea8b8CG49I+QBWPNraSPKrYSjJqbCXZrINmc943YOMQXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AI2S/PmzUtvb296enrS09OzzutNnz49t912W5YvX54lS5ZkyZIlFfcSYN0ILgCAygQXsNk5/fTTM2nSpLS2tg7c1kVra2s+/OEPZ+bMmenp6UlbW1va2toq7y3AIxNcwCY3NKqe9axn5T3veU8+8YlPZNmyZWlpaUlLS8s6bWfvvffO6173upx00klJkvHjx2f8+PHV9htgXbWcPCfNWAtPP3Rj7gpAct1116W9vT1Pe9rT0tvbOxBbY41y9S9vaWnJH//4x9x444156UtfOhBrSTJhwoSNs/PAE9rJc8Ze1r7xdgNgdP1h9P73vz/PeMYzsttuuyUZO7KG2mabbZIk733ve7PrrrvmHe94x8A2jW4BmwvBBWxys2bNSpKcfPLJ+cxnPpMbb7wxSdI0zUCMtbe3j/ptxQcffDBJcvTRR+ezn/1sLrzwwrS2tqa3t3cj7T3AIxNcwCb3xS9+MUly//33593vfvfA4319fQOT3sc6NcT3vve9JOU0EqeddlqSZMqUKes87wtgYxBcwCb1jne8I7Nnz06SHHXUUWM+r7OzM6tXrx7481ZbbZVXv/rVOfzww5Mkhx9+eBYsWJCurq488MADGTduXN0dB1gPvqUIAFCZES5gk5k5c2ZOPfXU/PCHP0yS/OhHPxrzuUNHt/p98IMfzHnnnZckOf/885Mk3d3dScae8wWwKQguYJM57bTT0tHRkRNOOGG91hs/fnwuueSSTJ06NW984xuHLdtiiy3ywAMPJCnRBbA58F8jYJN53etel76+vixevDhJ+VZi/629vT1NM3iawP6fW1pasmLFiuyxxx5JkgULFiQpk+r7+vrSNE16e3uzfPnydHR0jFgXYFMwhwvYpFpbWwfOJt/a2pqVK1cOnH9rrEDaeuutc/fddw8cPkyS3t7e9PX1ZfLkyQPxtXLlyqxcuXJgOcCmYoQL2GQeacRp6dKlmThx4ojnLlq0KDNmzEhHR8fAYcP29vYsWbJk4DlDR8eMbAGbmhEuYLPV2dm51uXt7e1ZtWpVVq1aNSy2khJrAJsLwQUAUJlDisBmq6+vb63LV6xYMeaytra23HPPPUmSadOm5b777tug+wawPgQXsNnq6up61OtOmDBhA+4JwGPjkCIAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgMsEFAFCZ4AIAqExwAQBUJrgAACoTXAAAlQkuAIDK2te28OQ5G2s3AAAev4xwAQBUJrgAACoTXAAAlQkuAIDKBBcAQGWCCwCgsv8PDkW1kggJwawAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PvY5Z9tmlm++ajBw7cHnngnI5j/bxyRZ79J+L191ZnufPHLhdkix4cflgh8GBgQQXrAbrTCjP0+4uoym9h706FpQz3QY7/LWqtI8r19m6+5pyFuOe7xk49+uFJ0uUDTbZ+6VYd5Ny7aapN5bRvt55bp2LyiUUVqcbLiiXmOidON/VUeYlJeV6ab12OLicuXnDD5ONtinRuqRGT7lEwoqcQbiklzqHa+GccpbmU/cnex+//Mtv7HpY8+WznirBNe6VySGf6r/uVa9Lbv/fcjh150P7n/Dx0O+SJ+4pJxu4vQ+sOMEFq8HodZNt31Ruv3LeX5dRh0Xzy/3whrSVkZUlJ2zXcODHS1Rd9/0SXq/aPhk1vlzeYcZj5Rf4X/1jneAaMrRMvr7xguR7f13OHuzpLmcajl538ST41WG9TZJzTux/Ha6Z08s1s5Yc+Rq5TvLOzyUXn5r84G/LBT/X3yxJSxmVfPLeMs/r05etvn1Pyv48dX85lNdoND9EufXElTvbdGmv2TfZbJfy93POR8r79U6af/DmJI1kvw+VnxGwYgQXrCaHfKrEzB9/ndxxaZmkvdVeyT7vKxfXrG14e7na+R+uSO75ZbkfXndnmUQ+fuMyt2tFLxnwp9jnfWX+z51XJn+4svwC3+5NZYTmnBPrfe7SDvts/yvNj16vjBTtcdTAOXib7ZJ88D+TW35SLpvxxJRyGG30uuWK9q9Zzj0La5j14skVM6cPfnhy7ISXFlwtrcmRpyd3/G9y76/LBW07FyYjx5QLue72znLiB7DiWk6enMaa3gkAgLXZarrhBADAy5fgAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEF/wZeOwP5X52K3ufPQD+MrjwKawms55Kvv3+5HUHJW/7v2t6b1atu65Krvxacsin+98eh+S+35bb5Dw9NenpSsZumGx/QPL6I1buXoSNRrlo7J0/T557NEkjWXfTZMe3Jju/bfENwns9/WC5YOmjtycznypXxR81NnnVDskbjkw23HqVfk1gOQQX/BnY6DXJh/+r+U2G+cv1m+8mN/1PMmxkuSr9iDHlavW/ObfcNufIL5TbHq2Iy85I7v1luTPAdm8qV+1/5Pbk6m8kT96THHpy/9df9W/J9D8mE7ZOttm7vP6Zh8rtpe7/bXLYZ5Jt1sCV8uHlSnDBn4FhI5L1Nl3Te8Gq9NQDJbaGj07e/+/l3odJGam6+hvJ7y9Pbr+kjHQtz/3Xl9gau2Fy/L+Vkaqk3JrpZ6eVe2NuPbF/QL12/+TtJ5fbNi3p7muTy89IJp9VbuK9MqNswJ9OcMFqcN0PFt/3bsrV5dHrkE+Xe99deHIy8b3JPscvXvfff588fmfy6cuTmy5M7v5FMue5ZJ0JyRuOSHZ6W3ndHZeV+zPOfDIZsU6y48HlHoVLH2ZKkif/mNzy42Ta3cmCOUn7uHLj5onvTcYsdRPpmdNLNDz2+3KT66Ftyej1k41fm+z3wXLz4t59TMphxSu/tnj7j36vRMKcGeVw2CO3lfdcMKdsu+mOyV7HvnhT6CUsefh1r2OTX59T5rl1dyUbb5e8+aPJBpsn82cmvzmv3FB54Zxkg1cnb/xwudF0s5//e76czH4mufXi5PnHk7aRJTr2/WC5P+Kq9MAN5XnHty6OraTcr3G/D5bguuPSFQuuB64vz68/YnFsJSWW9nl/+f63/2//4NrtHc3fa/v9y8/ihWnJs484tAiri+CC1WDTHZNF70xu+1nyii2SrSYuXveKLZNFc5e9/aVfTJ68r9w4eMjQMi9o8llJ69Dk2YdLwG25RwmNqTclN5yfDBue7HF0//e5c3Iy+cxk6LBky72SdTYov3jv/HnZ7vizknVeUV47d0by/U8kHfPL526zTxlRmflUcs81ya7vKNH0uoPKjbGn3lhuxv2KJW6aPHx0eX7iruTmHyWb7lTeZ9iI5IUnyw20p96UHPf1/tv1mvV08sO/SdbbpHzO7KeT+29ILvz75Lgzk598NmkblWy7Xwmue3+d/ORzyUe+u/h7LOnWi8phuG3fmLx692TalDL/7LE7y3cfNW75f5crat4L5XnchgPXjRiTjBhd4nPmU81f0/S9Nhq4rnfbJ6aUv58VGbFqHfLis9OmYLURXLAabLpTGcW67WclLJYcxUrK6M2yzH42+dC3yy/ppIx0fOeE5NpvJyPakw9+Kxmzflm39/HJf30wueWnyeuPXPzL9fknyryesROSY766+PVJmU/0o88k1/xncvjny7L7risRs/9Jye6H99+fjoVlpCZZPEl+6o3lsFazSfOb7px8/MJk+Kj+y595MDn/75Jffzd59xcGbvf4ncm+7y+jXL1uOD+57vvJDz+ZvGa/5C2fWDySt/muyeVfSX53UXLASQPf76FbS1hN2Grxsmu+ldx2cdmHQ/5u8fLH/lBCbGUs+fc6ap3yPOvpga9bOLc8kjLStrzgGtn7Xk8NXDfzxWU93SXglndo+sl7kxmPlZHK9Tdf9muBVUdwwV+AN35ocWwlZaTjVduXKHjzif3jacToMto15epy+HHshLL8jsvKWXIHfKz/65Nks12SrfYso02L5vcPo6HDB+5P24iV2//2QUaOXrFlibFHbiuHC5eeQD52wsBRutcdVIKruzN500f6Hzbd7s3JlV8vIdfM9gf0j62kRNKUq8ocqYP+TzlsmpTY6j0MvKKWDK4t9iiHY/9wZbLL28uh1aTM4frteYtft3A5o5u973Xvr5Lf/bSMzvUGWHdXcv33V/y9FswuQZok+390cYwD9Qku+Auw4TYDl41+cb7VhlsNXNcbVEsG15P3lufH70qm3z9wm/kzk0ZPOcS44dYlwH5zbvKLf08euTXZfPfkVa9N1tts8ejWynjw5jJv6akHkgWzyojMkhbMWvyder1iy4FR0Pua8a8aOGLWOiQZNb5872Y22WHgsuHt5XMevzOZ8Xgy4cVDm/scP3AkcmW8avtkh7cmd/08Ofdj5UzB3rMUn304WXeTMrq1Ij/L7d6Y3POL5OHbku+eWA7dDm0rh0fnPV8On85+pvmcvV4dC5OL/7n8/b7h3eUwLLD6CC74CzC8feCy3hBptq7lxXU9XYuXLZhdnm/58bI/q2NBeR47IXnfv5UJ5w/fWs6US5IxG5TrOO32zhXf/1svTq79Vhl922zXEgjDhidpSabeUC5X0N05cLuV/d6965eOuV7t45e9fNG8ZX6NlfbWvy2X/LjzyuS+3yRpSV65bXLMV5IbLijBtSLzxlqHJO86Nbn1p+UswylXl+DaZMfknackl5xeXjfYe3UsTH56SvLE3cnu70redMIq+4rAChJc8DLRGyh/c9HgsbK09TZN3vHZEjDPPFQuonnb/5a5XsNGlDPwlqenO7n+h0n7uuXyCEuPYvWOvK0OvZPPB1u+5M/lpc7hSsro1c5vK4+lPfdIGZFa0bMEhwwth1eXPsTa1VFOQBg5tvlcsEXzX4ytKWVkS2zBmiG4YDXpPdzT07NmPv+V2yZPP1B+8W65x8pt2zqkhMGGWyevfG3y3/+3XPagN7h6z3ZrNPlu82eVszA323tgbHUsKFdgX10ev6vMAVvSonllztfQtnI2ZK+XOodrWR77QzkEuOWeKx6/g7n3V2V0cLs3DVy3aF7y48+WqN3rmGTfD7y0zwL+dIILVpMRY5K0lF+0a8Kuh5UJ3Nd+u1wMc91X9V/f3Vmu0dU7z+mpB5LxrxwYBPNnluclJ9OPeHESd7Pv1j6uHD58amoJrLaRL35eVxkpWzDrpX+3FXX3NeXnsOTE+et+UMJkh7csnjCfvPQ5XEl536V/frOeTn7+r+XyDfu+v/+67q5yLbXWoeVnv7z3evrB5FffKYdqlx75WjinnHn61P3lzNW93/vSvgvw0gguWE3aRpZRpiemJJd+qQRPS2uZnL46rLdpuezBlV8vE69fvXsJr57uEkpPTCkX1TzhnPL6u3+R/OGKZOPty1mRI8aUGHjw5hILS14qYuPtSlTdenGZK9b+4kVEd3tHiYRd35nc/D/JuR8tE767u8ooz8I55ZIZy7ssxqqyxe7lMhTb7lf2cdqUMq9p7IRkvw+v+s/7+b+WwJqwVTJyTDLz6eTBG5Pu7uTQvy/XZFvS3OeScz5SLmx70vf7r/vRP5bIXX+zcu2xGY8lD91Slr1r0sCL1l58aomtcRuVMyOb3Rh964mLTxIA6hJcsBod+vdlhOnhW8uhoDTKGYW9ZxLWtv0B5Zf8735aIueR20sojV4vec2+5ZIDvbZ7cxn1mnZPORTZ1VFet+0by/W9Nth88WtHjEnecUq5RtaUq5POhS9+3v4luPZ9f4m5O39eIm54e5k8v+/7k+ubhEAtu78r2Xrvct2t539d7nH4uoPKld8Hu3TFS7HlHuX73vfbMrrXPi7ZZt9kz6NX/lZO2+xb7oN4z7WL/y52elt5rzEbDHx97/W/Zk4f/NDo2AmCC1aXlpMnp7GmdwKgpiVv7bPpTmt6b4CXIzd2AACoTHABAFQmuAAAKjOHCwCgMiNcAACVLfOyEF8+eHXtBgDAX7aTJw++zggXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBQBQmeACAKhMcAEAVCa4AAAqE1wAAJUJLgCAygQXAEBlggsAoDLBBWuxkSNH5pRTTsl9992Xjo6OLFy4MAsXLsxvfvObHHHEEX/y+44bNy5f+MIXct9992XGjBl5/vnnc8UVV+SKK67IgQcemCFDhgy6P2eeeWauvfbazJ49O41GI7///e9z+umn5/TTT8/GG2+8zM8dMmRI9tprr1x11VWZO3du5s6dm6uuuipXXXVV9t133+Xu9/77758rr7wyCxcuzOzZszN58uRMnjx5hbe99NJLM2/evDz77LP5xS9+kV/84hfZZ599lrvtvvvum2uuuSazZs3KvHnz+rbdb7/9lrstsJY4eXIagz0SDw+Pv9TH2LFjG1OnTm00Go1GR0dHY9GiRY2lffKTn1zp933Na17T977z589vzJ8/v7Fo0aLG3LlzG3Pnzm00Go3Ghz70oUaSRmtra79tOzo6Gl1dXY1Go9Ho6elpdHV1NebNm9fo6OhodHR0NKZPn97Ybrvtmn7uiBEjGqecckpjxowZjc7OzkZPT0+jp6en0dnZ2ffnI488ctD9Pvrooxvd3d2Nnp6evs/v7u5udHd3Nzo7OxtHHXXUoNsed9xxfdv2btfV1dX3eM973jPotkceeWSju7u772fe+/m9/33UUUc1Wlpa1vi/Fw8Pj5f+WFZTGeGCtdSkSZOyxRZb5LHHHsvxxx+f0aNHp6WlJS0tLXn3u9+dBx98MGeddVZ22GGHlXrft7/97VlnnXVyyy235KMf/Wg22WSTbL311vnEJz6RT3ziE5kxY0bOOeec7Lfffunp6Ulr6+L/mfn1r3+dr3/963nd616X1tbWbLbZZvnIRz6SqVOnZurUqdlwww1z2mmnNf3czTffPCeddFKS5Itf/GLa2tqy0UYb5Ytf/GK++MUvpqurK9/+9rczduzYAdu2tbXl3//939Pa2prPfe5zWXfdddPe3t637dChQ/Otb32r3772GjFiRL71rW+ls7Mzp59+ekaMGJH29vZMmjQpkyZNSmtra7797W9n9OjR/bYbOnRohg4dmrPPPjvd3d0544wzMnz48LS1teXzn/98Pv/5z6elpSXf/OY3Bx0RBNYiRrg8PNbOx8MPP9zo7u5u7Lbbbk3X77fffo3u7u7Gv/zLvzSSNFpaWlZopKWjo6PR3d3d2GuvvZquf9e73tWYN29e40tf+tJy36u9vb2RpLHzzjs3dt5558bChQsbs2bNarofH//4xxtdXV2NyZMnN32vyy+/vNFoNBonnHDCoNtefPHFTbe96KKLGj09PYNu22g0GhdddFHTbS+77LJGo9FofOITn+i3/GMf+1jjYx/7WKPRaDQuu+yypttedY7Uo+UAABlYSURBVNVVjY6OjsaJJ564xv+9eHh4vPSHES54Gdpkk02SJLfddlvT9bfcckt6enoyceLEJEmj0Uij0Vju+3Z2dqa1tTU33nhj2traBqy/9NJLk2SF5jbNmzcvSfLoo4/m0UcfTUtLy6CvPeSQQzJkyJD827/9W9P155xzThqNRt7+9rcPWLf//vsnSb7//e833fa8885LS0tLDjnkkAHrDjrooHR2duacc85puu25556bJAM+99BDD82hhx6aRqORs88+u+l3+853vpNhw4blbW97W9P3BtYeggvWUs8991ySZPfdd2+6/vWvf32GDBnSF2bL09ramtbW1lxyySVJSlB1dHQMeN1RRx2VkSNHZvz48QMiY8yYMRkxYsSAbSZMmJAJEyaks7MzV199db/wGzVqVEaNGpVtt902SXLjjTc23b/rr78+HR0d2XHHHQes22uvvZIMHp933HFHkmTnnXcesO4Nb3hDkuT3v/99021vuOGGJMlGG23Ub/m2226bbbfdNo1GI3fccUfTmL3uuuuSpOk+A2sXwQVrqcsvvzxJcsEFF+Twww/PkCFDMnLkyIwcOTIHHnhgLrjggnR1deWVr3zlCr1f7/yvnp6edHZ25qKLLsqRRx6ZMWPGZOutt84+++yTffbZJ5MmTUpLS0uGDBkyIDLmzJmThQsXDnjvs88+O2effXba29vzne98JxMmTOhbN3/+/MyfPz8bbrhhkqS7u7vp/j3//PNpa2vL+uuvP2DdsGHDkiSPPfZY022nT5+enp6efp/bq62tLY1GI9OnT1/mtttss02/5RtuuGHfPj/55JNNt+1dvsEGGzRdD6w9BBcAQGWCC9ZSf/d3f5c//vGP2XrrrXPRRRelq6urb7To6quvzuWXX55hw4alp6dnhd6vu7s73d3dmTRpUu67775ssMEGOe200zJ9+vTcf//9ufLKK/seHR0dWXfddVfofc8555zsu+++2XffffOzn/0sd9xxR55//vkki0emVkRnZ2daWlqaHrJMssz5YV1dXUmS9vb2Qbdd3pmESx9ebW9vT3t7e1paWgYdleu1on8HwF8uwQVrqVmzZmXixIk588wz8/DDDydJHnzwwTz44IM56aSTctZZZ6Wzs3O5MbC0Bx54IHvuuWd+8pOfZPjw4UmSu+66K1/60pfypS99Keedd17a2tqavu/SMfS5z30uhx56aJ577rk899xzOeKII/L000+ns7Mzw4YNS2dn5wrvV288NjtkmZRoGjVqVNN1Q4YMSUtLS98k/mbvPVj8DRs2LK2trZk7d26/5fPmzcu8efPS0tLS9HITSbkQbKPRWKnvCfxlGrqmdwCoZ9asWfnUpz6VT33qUwPWvec970lra2uefPLJtLS0DHqG4siRI7NgwYK+P2+zzTZ5/PHHc9RRRzXd5p3vfGceeuihzJ49u2/ZeuutlySZMWNGkjL68773vS+nnXZannrqqbzpTW9KkowfPz4zZsxY6dhKyqT1np6evtGxZkaNGpX58+cPWL7eeuulpaUlTz311KDbDhZNvSNfS49w9b7XlltumXXXXbfvJIYl32vs2LHp6enpG2ED1l5GuGAt1zvZfWlHH310WlpactVVVy3zcNuSsZUk999/f5JyGYlmh++OP/74bLHFFrn33nv7lvUeykxKoHz84x/P1772tXR1deWkk07K3XffnbvvvrsvyJrF1sUXX5wk2XPPPZvuZ+/ZmFOnTh2wbvLkyWlpaRn0Fj69y++5554B637729+mu7s7BxxwQNNtDz744HR1dQ04i/GOO+7oO/tx77337reup6cnPT092X333TNkyJD89re/bfrewNpDcMFartn1tfbYY48cdthhaTQaOeecc1Z6DlFvoPWGUUtLSyZOnJiJEydmt912S5L8x3/8R9/rFyxY0Bdu//RP/5QzzjgjI0eOzMEHH5zJkyf3e++lD9+NHz8+48ePzyWXXJKenp68733va7pPH/zgBzN06NBceeWVA9bddNNN6enpyUc+8pFBt02SK664YsC6n//852k0GjnhhBOabvvhD384SQZ8bu98tiSDbnvCCSekp6dHcMHLgSvNe3isvY/Jkyc3Dj744L4/H3fccY3jjjuuMW3atEZ3d3fj3HPP/ZPe95Zbbmm84x3vaAwdOrQxdOjQxjHHHNN46KGHGg899FCj0Wg0Lr300qbbnX766Y2Ojo7G448/3vjABz7Qt3zcuHGNcePG9Xvt6NGj+/154403bjz55JONRqPR+Nd//dfG2LFjGyNHjmyceuqpjVNPPbXR09PTmD17dqOtrW3A544fP76xcOHCRk9PT+MrX/lKo62trTFq1KjGaaed1jjttNMaixYtakybNq0xatSoAdu2t7c3nnvuuUaj0Wh8+ctfbowePboxdOjQvm17enoa06ZN67tqfu+j92fz5JNP9l3Rf8SIEY0RI0Y0Jk2a1Jg0aVKjp6enMW/evMaIESPW+L8VDw+Pl/5wpXkAgDWo5cWRrKa+fPDq3BVgVevo6MiwYcMyd+7cjBo1qu9QYEtLS2666abst99+g05O7+joSEtLy4Cz89ra2rJo0aK+P3d1dWXo0MXn39x1113Zf//989xzzw2Y/N57aHPRokV9Zzgu7YUXXsgGG2zQ9CzHI488Mv/zP//TNy+tu7u73+UajjnmmFx44YVN3/foo4/O+eefn56enr7v1DtZvaenJyeccEJ+8IMfZMiQIQM++6ijjsqFF16Yrq6upmcrHn744fnZz37W9+clT0L4wAc+kO9+97v95sn1/vza2try7ne/Oz/96U+b7jPwl+XkyYOvE1ywFjvssMNy0kknZffdd8/48eNz9913Jyn3DjzzzDOz3nrr9U1UX9r8+fPT1tbWL6Z6HXvssfnwhz+cLbbYImPGjMkzzzzTd6/Bc889d9AzBZudIbi0kSNHZsKECXnmmWcGrGtpacmxxx6b97///X33gOy9tc6pp57ad6ucweyzzz757Gc/mze+8Y1pNBr55S9/mST52te+1vffg9lrr73yhS98IXvssUeSMi8sSU455ZS+fRjMvvvum9NOOy277757Fi5c2DfB/tRTT82NN97oshCwlhBc8DL1p1xeoaZm9ypMFl8moaWlZdD7HfYa7BIWy7q0xZr257xvwKqzrOByHS5Yi/05xVYy+A2gV8Zg4fLnHDR/zvsGrB4mzQN/VpodwgT4Sye4gD8rrroOrI0EFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUNnQNb0DwNprxx13zDHHHJODDjooSbL55ptn5MiRmTJlSm6++eZMmjQpM2bMWKn3HDNmTO67776MGzcuI0eOzDrrrJMkmTNnTr/XbbXVVjn22GOTJAcddFB22WWXzJkzJwsWLMhPfvKTfOMb38jjjz++Cr4lwPIZ4QIAqKzl5MlpDLbyywevzl0B1jaNRvmfl56enr4/DxkypG/9HXfckbe+9a159tln+71+MC0tLTnllFMyadKkfsuaeeihhzJu3Lgkyfjx45Mks2fPzpAhQ9Le3p45c+Zkn332SZLceeedf8rXA+jn5MmDrzPCBVTzy1/+Mp/85Cezyy67ZJdddsnQoUMzdOjQvPWtb8306dOz88475ytf+UoajcZyYytJdthhh0yaNCknnnhi37Jhw4Zl2LBhSdIXc7/73e+y8cYb59FHH82jjz6a/fffP0OGDMnYsWPz3ve+N7/85S8zZsyYfPOb38w3v/nNOl8eYAlGuIDVrqWlJW94wxty/fXX5+mnn87GG2+8QtvdeeedmT9/fg444IA8++yzaW1tzYgRI5IkbW1t6ejoSEtLS3p6ejJ37tzsueeeSZKHH3448+fP73uf8ePH5/nnn09XV1eSEm0tLS0rFH0Ag1nWCJdJ88Bq12g08rvf/S7d3d19h/uW59Of/nS22Wab7LPPPpk3b15GjhzZb/3QoUPT0dGRRqORhx56KFtssUWmTZuWJOno6Oh7XWtra19Y3XTTTf32CaAWhxSBNWLHHXdMo9HI7bff3m/50KH9/3/gdtttl+222y5f/epXc9ZZZ+XWW2/tW9c7NyxJvxGs8847L93d3Tn//PNz/vnnZ+LEiRk1alRGjRqV1772tTn33HMzf/78XHLJJbnkkksqfUOAxYxwAWvEWWedlWHDhuWrX/1qv+VLHubr7OzMD37wgyTJY489ln/5l3/p99olg2tJX/jCF/LEE0/k5JNPTpJccsklGTp0aEaPHp2kjGwdffTRueyyy1bpdwIYjBEuYLU744wzst9+++Waa67Jz372s6av6ezszAknnJAtttgiW2yxRT72sY9l5syZ/V6z9GHAsWPH9ls+fPjwDB8+PGPGjOm75tbDDz+crbbaKn/1V3/Vb8I9QE2CCwCgMocUgdXqM5/5TE4++eQ88MADOeKIIwZ93cYbb5wzzjgjv/nNb5IkV1xxxYDXLHlIsa2tre+/jz/++Jx55pl9V58/6KCDcvfdd+eZZ57Jfvvtl3PPPTfHHntsbrjhhiTJ9773vVXy3QAG47IQwGrzuc99LqeddlrmzJmTiRMnZsqUKYO+9uqrr84BBxyQjTbaKEny9NNP91vfaDTS2dnZF1q9l4VIkuuuuy577bVX9tprryTJLbfc0m/bgw8+OFdccUXfWYp77733qvmCwMuay0IAa9RnP/vZJMlpp52WBQsWZP/9919mbCXJgQcemCR56qmn+pbNmzcv7e3t/V7XO19ryfjaaKON0traOiC0Ro4cmQULFuSqq65Ka2trdtppp5f2xQBWkOACqjrllFPyz//8z0lKMB122GEDLgUxmAULFvQF1ahRozJy5Mj09PSkp6en76ryCxYsSJJ+1+WaNWtWuru7c9hhhyVJLr/88nR3d6e9vT0LFizIjjvumJkzZ/ZtC1Cb4AKqOeWUU/KP//iPfXOt3vOe9+Taa69doW2b3SOx91IRSfqF2NJuv/327LLLLn2h19LSkksuuSSzZ8/OSSedlH/4h3/IuHHj8uMf//hP+VoAK80cLqCa+fPnN73sQktLS1pby0nS3d3dfTeZnjdv3gq/99JzuJJyL8Xu7u7ssMMO+eEPf5gdd9yx77WzZs3KuHHjMnv27AwfPjxz5szJAQcckMTNq4FVw82rAQDWIIcUgWqGDx+eRqPRN9+qV3d3d+bPn5+2tra0trau1MhWr2YT6Lu7u5Mkd911V3baaae+yfof//jHs9FGG2X+/Pm57777ctZZZ+XCCy/sez1AbQ4pAgCsAg4pAgCsQYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKAywQUAUJngAgCoTHABAFQmuAAAKhNcAACVCS4AgMqGLmvlyZNX124AAKy9jHABAFQmuAAAKhNcAACVCS4AgMoEFwBAZYILAKCy/w8ddnvYql3GGgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x9216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipe = VideoPipe(batch_size=BATCH_SIZE, num_threads=2, device_id=0, data=tf.name)\n",
    "pipe.build()\n",
    "gs = gridspec.GridSpec(ITER, 1)\n",
    "\n",
    "for i in range(ITER):\n",
    "    sequences_out, label, start_frame_num, timestamps = pipe.run()\n",
    "    sequences_out = sequences_out.as_cpu().as_array()\n",
    "    label  = label.as_cpu().as_array()\n",
    "    start_frame_num = start_frame_num.as_cpu().as_array()\n",
    "    timestamps = timestamps.as_cpu().as_array()\n",
    "    batch_sequences = sequences_out[0]\n",
    "    sample_frame = batch_sequences[0]\n",
    "    if has_PIL:\n",
    "        im = Image.fromarray(sample_frame.astype('uint8'))\n",
    "        fig = plt.figure(figsize = (16,128), facecolor=\"#76b900\")\n",
    "        plt.subplot(gs[i])\n",
    "        plt.axis(\"off\")\n",
    "        plt.title(\"label=\" + str(label[0][0]) + '\\n'\n",
    "                  \"frame number=\" + str(start_frame_num[0][0]) + '\\n'\n",
    "                  \"timestamp=\" + str(round(timestamps[0][0], 2)), fontsize=20)\n",
    "        plt.imshow(im)\n",
    "plt.close()\n",
    "tf.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
